{"id":"W320575465","doi":"10.1037/e447852006-001","title":"Suicide among Veterans: Research, Models and Data","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Data science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01995194,0.002228483,0.003563235,0.00544573,0.001464867,0.003669159,0.003930076,0.002356096,0.009095375],"category_scores_gemma":[0.06427541,0.001516145,0.004948845,0.008894386,0.001508849,0.003756334,0.002229655,0.002639785,0.001966967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003816495,"about_ca_system_score_gemma":0.00228768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0518631,"about_ca_topic_score_gemma":0.0280743,"domain_scores_codex":[0.9890174,0.008570437,0.0007650072,0.0007517666,0.0006070182,0.000288306],"domain_scores_gemma":[0.8591956,0.1297035,0.005088395,0.002993508,0.002504979,0.0005139229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003201742,0.004886569,0.5671045,0.02246442,0.02389973,0.001567467,0.004910759,0.08254358,0.0002011442,0.08421963,0.05413543,0.1508652],"study_design_scores_gemma":[0.004337719,0.005269744,0.1861422,0.01864624,0.02766078,0.003259524,0.01048702,0.4393699,0.0007126363,0.2179166,0.08539245,0.0008051642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.604841,0.2669363,0.04972694,0.01203546,0.001177061,0.003266356,0.04368874,0.0009620099,0.01736612],"genre_scores_gemma":[0.8380327,0.08892483,0.04018367,0.002243606,0.0005264962,0.005663629,0.02037763,0.0001738687,0.003873595],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.0518631,"threshold_uncertainty_score":0.1055172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3047147914754713,"score_gpt":0.4777635962478942,"score_spread":0.1730488047724228,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}